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author:

Jin, Tao (Jin, Tao.) [1] | Wei, Haibin (Wei, Haibin.) [2] | Nzongo, Daniel Legrand Mon (Nzongo, Daniel Legrand Mon.) [3] | Zhang, Yizhen (Zhang, Yizhen.) [4]

Indexed by:

EI

Abstract:

A model predictive control (MPC) strategy for a three-phase three-level neutral point clamped (NPC) grid-connected inverter is discussed. Conventional two-level inverters are effective when a symmetric fault occurs. But when a three-phase unbalanced fault occurs, they will generate errors and introduce delay in the power system because of the complex design or the neglected negative-sequence component of the grid. To solve this problem, a new method to control a NPC gridconnected inverter is proposed, which combines an MPC strategy with a decoupling double synchronous reference frame phase-locked loop technique. The proposed method reduces the use of PI controllers and enhances the system's response speed. Using simulations and experiments, the proposed MPC strategy for a three-level NPC gridconnected inverter is proven to be accurate and reliable. © 2016 The Institution of Engineering and Technology.

Keyword:

Electric inverters Model predictive control Predictive control systems

Community:

  • [ 1 ] [Jin, Tao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wei, Haibin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Nzongo, Daniel Legrand Mon]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Zhang, Yizhen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [jin, tao]college of electrical engineering and automation, fuzhou university, fuzhou; 350116, china

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Source :

Electronics Letters

ISSN: 0013-5194

Year: 2016

Issue: 14

Volume: 52

Page: 1248-1250

1 . 1 5 5

JCR@2016

0 . 7 0 0

JCR@2023

ESI HC Threshold:177

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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